Abstract

The acknowledgment of antimicrobial resistance (AMR) as a major health challenge in humans, animals and plants, has led to increased efforts to reduce antimicrobial use (AMU). To better understand factors influencing AMR and implement and evaluate stewardship measures for reducing AMU, it is important to have sufficiently detailed information on the quantity of AMU, preferably at the level of the user (farmer, veterinarian) and/or prescriber or provider (veterinarian, feed mill). Recently, several countries have established or are developing systems for monitoring AMU in animals. The aim of this publication is to provide an overview of known systems for monitoring AMU at farm-level, with a descriptive analysis of their key components and processes. As of March 2020, 38 active farm-level AMU monitoring systems from 16 countries were identified. These systems differ in many ways, including which data are collected, the type of analyses conducted and their respective output. At the same time, they share key components (data collection, analysis, benchmarking, and reporting), resulting in similar challenges to be faced with similar decisions to be made. Suggestions are provided with respect to the different components and important aspects of various data types and methods are discussed. This overview should provide support for establishing or working with such a system and could lead to a better implementation of stewardship actions and a more uniform communication about and understanding of AMU data at farm-level. Harmonization of methods and processes could lead to an improved comparability of outcomes and less confusion when interpreting results across systems. However, it is important to note that the development of systems also depends on specific local needs, resources and aims.

Highlights

  • Antimicrobial resistance (AMR) is acknowledged as one of the main threats to human health worldwide

  • As antimicrobial use (AMU) reduction figures for several countries have proven the principle of implementing farm level monitoring might be a more defining factor for success than the actual methods used

  • It is remarkable that almost all systems deploying farm-level benchmarking in partial or full coverage systems use an indicator that reflects the exposure of animals to AMU, by calculating a treatment incidence or treatment frequency (Table 1)

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Summary

Introduction

Antimicrobial resistance (AMR) is acknowledged as one of the main threats to human health worldwide. An association between the use of certain antimicrobials in animals and the occurrence of AMR in certain clinical isolates from humans has been shown [5,6,7]. At the end of the previous millennium, the concept of antimicrobial stewardship (AMS) was established as a set of “responsible use” policy measures aimed at combatting AMR in human hospitals [8]. Following an increased focus on “One Health”; which emphasizes the interconnection between human, veterinary and environmental health, the need for more prudent use practices in veterinary medicine has become more widely accepted, i.e., using antimicrobials “only when necessary” and with treatment decisions based on the diagnosis, including pathogen and relevant resistance data [10]

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